Data Mining Research Papers – Writing A Plain Abstract
Completing an abstract for a data mining research paper is basically creating a summary that helps provide a detailed overview of your paper. It helps readers get an understanding of what is ahead as they continue reading. Sometimes it is helpful for those seeking related information on the topic through an online search if the work is published. It also acts as status update since it provides details related to research you have completed. There are a few suggestions to consider in writing your abstract that may help ease the process overall.
- Review different types of abstract summaries and compare them to what you are expected to produce. There are 2 common different abstract formats (informative and descriptive) depending on the content you are writing about. To get a further understanding you can review sample abstracts to see the layout structure and details. Informative style is often seen with longer research papers, while descriptive is seen with shorter papers.
- Write the research paper first and then write your abstract. You may think this is out of order but it will help you write your content with better attention to the right details to mention. Even though this appears at the beginning of your paper, this is considered different from an introduction paragraph that introduces your topic. The abstract details overall what you wrote about.
- Don’t get this confused with a thesis statement. The thesis and abstract are not the same element even though they may both appear on the same page.
- More students find it necessary to wait until later to complete their abstract even if they think they know what to right before their paper is completed.
- Do you have requirements or guidelines for how to write your abstract? Make sure you follow details carefully to meet school expectations. This may include a specific length, considering your audience, and formatting style if necessary.
- Identify, explain and describe the problem or main idea. Give readers details about the problem (scope) or main idea of the paper. Explain methods you used in how to determine or further explore the problem. Share evidence to support the main idea.
- If your abstract is informative you may need to describe results. This basically works to ensure your hypothesis is thoroughly supported.
- Your conclusion should act as closure for your summary or abstract.
- Don’t forget to review formatting requirements for your paper and proofread/revise. Make sure order of details is logic, correct, and display resources correctly.